We are looking for Data Scientists to join our rapidly growing TIBCO Data Science team and provide business consulting expertise in the context of customer implementations of TIBCO software. The successful candidates will also engage in methodology development to sharpen our current tool kit. This position will require some travel to customer locations as well as integration and solution development within the TIBCO suite of products.

The work can be accomplished from a home office, but candidates who can readily come in to our
New York or Boston offices will be given preference.
For consideration,
submit your resume and application online.

Desired Skills & Experience:

Candidates must have experience in data analysis and some involvement in delivering analyses as part of demonstrations, projects, engagements or deployed software applications.

Candidates must be comfortable / fluent in speaking with senior industry personnel and be able to provide compelling presentations and demonstrations of analytics software; and to document the business value of analytics projects.

Candidates must have 2+ years of experience with R and some knowledge of SQL. Experience with other software environments e.g. SAS, Matlab, Spotfire, Tableau, Qlikview, SPSS, KNIME and/or other data mining software is a plus. Experience with other software components for data preparation and integration e.g. Composite and/or programming or scripting environments e.g. .Net, Java, Python, Javascript is a plus.

Candidates should have a master degree with classes in statistics. Graduate classes in Time Series Analysis, Longitudinal Methods and/or Data Mining are a plus.

Candidates must be proficient in the Windows environment; Linux is a plus.

About TIBCO:
TIBCO is a rapidly growing software company with more than 3000 employees worldwide and more than $1B annual revenue. TIBCO provides a comprehensive software platform that allows customers to quickly discover actionable insights across data sources to solve business problems; while injecting statistical components into the analysis.